GISS Surface Temperature Analysis

$0 / year

This dataset provides (Goddard Institute for Space Studies) GISS Surface Temperature (GISTEMP) Analysis. Four different series are provided: Global Annual Temperature Anomalies (Land) 1880-2014, Global Annual Temperature Anomalies (Land and Ocean) 1880-2014, Hemispheric Temperature Anomalies (Land+ Ocean) 1880-2014 and Annual Temperature anomalies (Land + Ocean) for three latitude bands that cover 30%, 40% and 30% of the global area, respectively, 1900-2014.

Categories: ,
Complexity

The GISS Surface Temperature (GISTEMP) analysis provides a measure of the changing global surface temperature with monthly resolution for the period since 1880, when a reasonably global distribution of meteorological stations was established. The input data that the GISTEMP Team use for the analysis, collected by many national meteorological services around the world, is the adjusted data of the Global Historical Climatology Network (GHCN) Vs. 3 (this represents a change from prior use of unadjusted Vs. 2 data) (Peterson and Vose, 1997 and 1998), United States Historical Climatology Network (USHCN) data, and SCAR (Scientific Committee on Antarctic Research) data from Antarctic stations. Documentation of the basic analysis method is provided by Hansen et al. (1999), with several modifications described by Hansen et al. (2001). The GISS analysis is updated monthly, however CDIAC’s presentation of the data here is updated annually.

The GISTEMP Web site is the most comprehensive and direct source of information for these data. Users are strongly encouraged to visit the NASA GISS Web site, where you can specify input for making customized maps, graphs, and subsets of the data, in addition to learning many more interesting details about these data and their analysis. Here, we seek to give users a brief, high-level overview of the GISTEMP analysis and provide you with convenient access to the main time series graphs, data tables, and related references. This brief summary of the methods employed by the GISTEMP Team in their analysis is mostly borrowed from their NASA GISS Web pages. Significant updates to the GISTEMP Team methods are described in a 2010 paper. They describe the use of satellite-observed nightlights to identify measurement stations located in extreme darkness and adjust temperature trends of urban and peri-urban stations for non-climatic factors, verifying that urban effects on analyzed global change are small. The paper compares alternative analyses, and addresses questions about perception and reality of global warming. The GISTEMP Team modifies the GHCN/USHCN/SCAR data in two steps to get to the station data on which all their tables, graphs, and maps are based: in step 1, if there are multiple records at a given station, these are combined into one record; in step 2 they adjust the non-rural stations in such a way that their long-term trend of annual means matches that of the mean of the neighboring rural stations. Records from urban stations without nearby rural stations are dropped.

Global Annual Temperature Anomalies (Land), 1880-2014 Global Annual Temperature Anomalies (Land+Ocean), 1880-2014 Hemispheric Temperature Anomalies (Land+Ocean), 1880-2014 Global Annual Temperature Anomalies (Land+Ocean) for three latitude bands, 1900-2014

Date Created

2016-03-31

Last Modified

2014

Version

2014

Update Frequency

Annual

Temporal Coverage

1880-2014

Spatial Coverage

United States

Source

John Snow Labs => Global Annual Temperature Anomalies (Land), Global Annual Temperature Anomalies (Land and Ocean), Hemispheric Temperature Anomalies (Land and Ocean), Global Annual Temperature Anomalies (Land and Ocean)

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

Ruedy, R., M. Sato, and K. Lo. 2015. NASA GISS Surface Temperature (GISTEMP) Analysis. In Trends A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A. doi 10.3334/CDIAC/cli.001

Keywords

GISS Temperature, GISS Surface Temperature, Global Surface Temperature

Other Titles

GISTEMP Analysis US, United States Surface Temperature

Name Description Type Constraints
YearReported Yeardaterequired : 1
Land_AnomaliesGlobal annual anomalies computed from land data, in degrees Cnumberlevel : Ratio
Land_And_Ocean_AnomaliesGlobal annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Ratio
Northern_Hemisphere_Annual_AnomaliesNorthern hemisphere annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Ratio
Southern_Hemisphere_Annual_AnomaliesSouthern hemisphere annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Ratio
Latitude_Band_1Latitude band (90N-23.6N, 30% of global area) annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Nominal
Latitude_Band_2Latitude band (23.6N-23.6S, 40% of global area) annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Nominal
Latitude_Band_3Latitude band (23.6S-90S, 30% of global area) annual anomalies computed from land and ocean data, in degrees Cnumberlevel : Nominal
YearLand_AnomaliesLand_And_Ocean_AnomaliesNorthern_Hemisphere_Annual_AnomaliesSouthern_Hemisphere_Annual_AnomaliesLatitude_Band_1Latitude_Band_2Latitude_Band_3
1898-0.3-0.2-0.2-0.21
1883-0.39-0.2-0.3-0.09
1882-0.38-0.19-0.3-0.08
1888-0.48-0.23-0.27-0.2
1891-0.49-0.27-0.3-0.24
1893-0.49-0.3-0.33-0.27
1900-0.3-0.23-0.21-0.26
1884-0.43-0.22-0.32-0.11
1884-0.43-0.22-0.32-0.11
1884-0.43-0.22-0.32-0.11